bot-backend
7590b6467e
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domrf_kn_objects retains ~9 snapshots per obj_id (prod: 4090 rows / 482 distinct obj_id for Строящиеся = 8.49× inflation). _active_competitors_count and developer_portfolio counted every historical snapshot as a distinct object; _competitors_two_dim's active CTE had the same class. Dedup via DISTINCT ON (obj_id) ORDER BY snapshot_date DESC, applying VOLATILE filters (site_status, district_name, obj_class — prod variance 11/1/29) in the outer query after dedup so an object is counted by its TRUE-latest snapshot, while stable scope (region_cd, dev_id — variance 0) stays in the CTE. Competitor counts and developer portfolios drop ~8× — correct de-inflation. Also backfill ON CONFLICT DO UPDATE SET: UPSERT_OBJECT_SQL dropped 8 freshly-computed columns on re-scrape, UPSERT_PHOTO_SQL dropped build_type — added as direct EXCLUDED (not COALESCE, so problem_flag can clear to NULL). Refs #2464 (clusters E + F). |
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| .. | ||
| analysis_runs | ||
| analytics | ||
| cadastre | ||
| chat | ||
| etl | ||
| exporters | ||
| forecasting | ||
| generative | ||
| llm | ||
| photos | ||
| scrapers | ||
| site_finder | ||
| __init__.py | ||
| analytics_queries.py | ||
| analytics_refresh.py | ||
| dadata_client.py | ||
| forecast_request_cache.py | ||
| insights.py | ||
| job_settings.py | ||
| objective_etl.py | ||
| objective_sync_config.py | ||
| own_projects.py | ||
| weather_cache.py | ||